Data Science Projects with Python
portes grátis
Data Science Projects with Python
A case study approach to gaining valuable insights from real data with machine learning, 2nd Edition
Klosterman, Stephen
Packt Publishing Limited
07/2021
432
Mole
Inglês
9781800564480
15 a 20 dias
Descrição não disponível.
Table of Contents
Data Exploration and Cleaning
Introduction to Scikit-Learn and Model Evaluation
Details of Logistic Regression and Feature Exploration
The Bias-Variance Trade-off
Decision Trees and Random Forests
Gradient Boosting, XGBoost, and SHAP (SHapley Additive exPlanations) Values
Test Set Analysis, Financial Insights, and Delivery to the Client
Data Exploration and Cleaning
Introduction to Scikit-Learn and Model Evaluation
Details of Logistic Regression and Feature Exploration
The Bias-Variance Trade-off
Decision Trees and Random Forests
Gradient Boosting, XGBoost, and SHAP (SHapley Additive exPlanations) Values
Test Set Analysis, Financial Insights, and Delivery to the Client
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data Science;Python
Table of Contents
Data Exploration and Cleaning
Introduction to Scikit-Learn and Model Evaluation
Details of Logistic Regression and Feature Exploration
The Bias-Variance Trade-off
Decision Trees and Random Forests
Gradient Boosting, XGBoost, and SHAP (SHapley Additive exPlanations) Values
Test Set Analysis, Financial Insights, and Delivery to the Client
Data Exploration and Cleaning
Introduction to Scikit-Learn and Model Evaluation
Details of Logistic Regression and Feature Exploration
The Bias-Variance Trade-off
Decision Trees and Random Forests
Gradient Boosting, XGBoost, and SHAP (SHapley Additive exPlanations) Values
Test Set Analysis, Financial Insights, and Delivery to the Client
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
